Commerce Business Analyst

Please note: This role is not eligible for visa sponsorship.

Key Responsibilities: Performance Monitoring: Track and analyze key performance indicators (KPIs) for all affiliate marketing campaigns, including clicks, conversions, commission, and return on investment (ROI).Data Reporting: Develop and maintain recurring reports and dashboards using business intelligence tools to provide clear visibility into performance for stakeholders. Strategic Insights: Proactively identify trends, anomalies, and opportunities in data to provide actionable recommendations for improving affiliate program efficiency and profitability. Forecasting & Modeling: Assist in building and maintaining models and forecasts to project future performance needs. A/B Testing & Optimization: Design, execute, and analyze A/B tests to optimize landing pages, offers, and partner performance. Data Partnership: Serve as a dedicated data partner to the Commerce Team, working closely with leadership to translate business goals into data strategy and deliver clear, actionable insights. Data Integrity: Ensure the accuracy and reliability of all data sources, reporting, and analysis.

Qualifications: Required 2+ years of professional experience in data analytics within a publishing environment or affiliate marketing organization (publisher-focused experience strongly preferred).Experience with a business intelligence platform (e.g., Tableau, Power BI, Looker).Familiarity with affiliate tracking & Commerce business models, platforms and tools. Bachelor's degree in a quantitative field (e.g., Business, Economics, Statistics, Computer Science) or equivalent professional experience. Demonstrated ability to perform in-depth analysis, draw conclusions, and present findings clearly to both technical and non-technical audiences. Experience with statistical analysis and data visualization.

Strongly Preferred: Experience with languages like Python & SQL for data manipulation and statistical analysis. Proven experience working with large, complex datasets. What We're Looking ForAnalytical Thinking: You're a problem-solver who can turn raw data into a compelling story. Communication Skills: You can clearly and concisely explain complex data concepts to a variety of audiences. Attention to Detail: You have an eye for precision and are committed to data accuracy. Collaboration: You're a team player who can build strong relationships with stakeholders. Proactive & Curious: You love to dig into data and are always looking for ways to improve performance.

Note: This position follows our hybrid work model; however, in-office expectations may adjust based on business needs. At The New York Post we recognize that attracting the best talent is key to our strategy and success as a company. As a result, our ranges reflect our good faith estimate to pay fairly as to what our ideal candidates are likely to expect, and we tailor our offers within the range based on the selected candidate's experience, industry knowledge, technical and communication skills, and other factors that may prove relevant during the interview process. In addition to compensation, the company provides eligible employees a comprehensive and highly competitive benefits package, with a variety of physical health, retirement and savings, caregiving, emotional wellbeing, transportation, and other benefits, including "elective" benefits employees may select to best fit the needs and personal situations of our diverse workforce. As an equal opportunity employer, the New York Post does not discriminate in hiring or the terms and conditions of employment because of an individual's race, color, religion, national origin, age, disability, gender, sexual orientation, citizenship or any other characteristic protected by federal, state or local law. The New York Post will consider the provision of reasonable accommodations to known physical or mental disabilities of otherwise qualified applicants to enable them to participate in our application process and to effectively perform the essential functions of the job, unless doing so would impose an undue financial or operational hardship.

Pay Range: $75,000 - $100,000